Amanda L. Blasius, Ben A. Croker, Karine Crozat, Philippe Krebs, Zhengfan Jiang, Stephen Aplin Lyon, Bruce Beutler, Katharina Brandl, Michael J. Barnes, Kasper Hoebe, Hua Huang, Nora G. Smart, Yu Xia, Owen M. Siggs, Lei Sun, Daniel L. Popkin, Xin Du, Michael Berger, Anne R. Murray, Wataru Tomisato, Sophie Rutschmann, Eva Marie Y Moresco, Celine Eidenschenk, Koichi Tabeta, Philippe Georgel, Xiaohong Li, Victoria Webster, Diantha La Vine, Sungyong Won, Carrie N. Arnold, Nengming Xiao, Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratory of Human Genetics of Infectious Diseases, Immuno-Rhumatologie Moléculaire, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Division of Molecular Immunology, University of Cincinnati (UC)-Cincinnati Children's Hospital Medical Center, Stony Brook University [SUNY] (SBU), State University of New York (SUNY), Department of Immunology and Microbial Science, The Scripps Research Institute [La Jolla, San Diego], Northwest Normal University [Lanzhou], Imperial College Faculty of Medicine, Imperial College London, University of Toronto, Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Scripps Research Institute, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA), and Cincinnati Children's Hospital Medical Center-University of Cincinnati (UC)
Background We present a compendium of N-ethyl-N-nitrosourea (ENU)-induced mouse mutations, identified in our laboratory over a period of 10 years either on the basis of phenotype or whole genome and/or whole exome sequencing, and archived in the Mutagenetix database. Our purpose is threefold: 1) to formally describe many point mutations, including those that were not previously disclosed in peer-reviewed publications; 2) to assess the characteristics of these mutations; and 3) to estimate the likelihood that a missense mutation induced by ENU will create a detectable phenotype. Findings In the context of an ENU mutagenesis program for C57BL/6J mice, a total of 185 phenotypes were tracked to mutations in 129 genes. In addition, 402 incidental mutations were identified and predicted to affect 390 genes. As previously reported, ENU shows strand asymmetry in its induction of mutations, particularly favoring T to A rather than A to T in the sense strand of coding regions and splice junctions. Some amino acid substitutions are far more likely to be damaging than others, and some are far more likely to be observed. Indeed, from among a total of 494 non-synonymous coding mutations, ENU was observed to create only 114 of the 182 possible amino acid substitutions that single base changes can achieve. Based on differences in overt null allele frequencies observed in phenotypic vs. non-phenotypic mutation sets, we infer that ENU-induced missense mutations create detectable phenotype only about 1 in 4.7 times. While the remaining mutations may not be functionally neutral, they are, on average, beneath the limits of detection of the phenotypic assays we applied. Conclusions Collectively, these mutations add to our understanding of the chemical specificity of ENU, the types of amino acid substitutions it creates, and its efficiency in causing phenovariance. Our data support the validity of computational algorithms for the prediction of damage caused by amino acid substitutions, and may lead to refined predictions as to whether specific amino acid changes are responsible for observed phenotypes. These data form the basis for closer in silico estimations of the number of genes mutated to a state of phenovariance by ENU within a population of G3 mice.